testing-quality-standards

跨插件测试质量指标与标准。被pensive:test-review与parseltongue:python-testing所引用。测试标准、质量指标、覆盖率阈值、反模式适用场景：当需要评估测试质量、设定覆盖率阈值、制定质量标准时使用。切勿在仅需简单脚本、无需质量要求时使用此技能。

SKILL.md

--- frontmatter

name: testing-quality-standards
description: |
  Cross-plugin testing quality metrics and standards. Referenced by pensive:test-review and parseltongue:python-testing.

  testing standards, quality metrics, coverage thresholds, anti-patterns

  Use when: test quality evaluation, coverage thresholds, quality standards
  DO NOT use when: simple scripts without quality requirements
category: infrastructure
tags: [testing, quality, standards, metrics]
dependencies: []
estimated_tokens: 400
provides:
  patterns: [coverage-thresholds, quality-metrics, anti-patterns]
version: 1.4.0

Testing Quality Standards

Shared quality standards and metrics for testing across all plugins in the Claude Night Market ecosystem.

When To Use

•Establishing test quality gates and coverage targets
•Validating test suite against quality standards

When NOT To Use

•Exploratory testing or spike work
•Projects with established quality gates that meet requirements

•Coverage Thresholds
•Quality Metrics
•Detailed Topics

Coverage Thresholds

Level	Coverage	Use Case
Minimum	60%	Legacy code
Standard	80%	Normal development
High	90%	Critical systems
detailed	95%+	Safety-critical

Quality Metrics

Structure

• Clear test organization
• Meaningful test names
• Proper setup/teardown
• Isolated test cases

Coverage

• Critical paths covered
• Edge cases tested
• Error conditions handled
• Integration points verified

Maintainability

• DRY test code
• Reusable fixtures
• Clear assertions
• Minimal mocking

Reliability

• No flaky tests
• Deterministic execution
• No order dependencies
• Fast feedback loop

Detailed Topics

For implementation patterns and examples:

•Anti-Patterns - Common testing mistakes with before/after examples
•Best Practices - Core testing principles and exit criteria

Integration with Plugin Testing

This skill provides foundational standards referenced by:

•pensive:test-review - Uses coverage thresholds and quality metrics
•parseltongue:python-testing - Uses anti-patterns and best practices
•sanctum:test-* - Uses quality checklist for test validation

Reference in your skill's frontmatter:

yaml

dependencies: [leyline:testing-quality-standards]

Verification: Run pytest -v to verify tests pass.

Troubleshooting

Common Issues

Tests not discovered Ensure test files match pattern test_*.py or *_test.py. Run pytest --collect-only to verify.

Import errors Check that the module being tested is in PYTHONPATH or install with pip install -e .

Async tests failing Install pytest-asyncio and decorate test functions with @pytest.mark.asyncio